Dixa MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Assign To Self, Create Conversation, Create Customer Profile, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Dixa through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The Dixa app connector for OpenAI Agents SDK is a standout in the Communication Messaging category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Dixa Assistant",
instructions=(
"You help users interact with Dixa. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Dixa"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Dixa MCP Server
Connect your Dixa account to any AI agent and take full control of your omnichannel customer service and team coordination workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 12 tools from Dixa through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Dixa, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Conversation Orchestration — List and manage active support tickets programmatically, including retrieving detailed metadata and historical context
- Agent & Team Coordination — Assign conversations to yourself or specific team members and monitor agent availability in real-time to optimize response times
- Customer Profile Intelligence — Access and manage end-user (customer) profiles programmatically to maintain a high-fidelity record of contact information and interaction history
- Lifecycle Management — Programmatically create new support requests or mark existing conversations as resolved/closed to maintain a structured support pipeline
- Operational Monitoring — Check API connectivity and monitor active webhooks directly through your agent for reliable service operations
The Dixa MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Dixa tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Dixa through Vinkius, your AI agent gets direct access to every tool listed below — spanning omnichannel-support, conversational-ai, ticket-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Claim a conversation
Add new support chat
Add new customer
Get agent details
Check API health
Get ticket info
Get event configs
List customer tickets
List Dixa customers
List active agents
List agent teams
Close a conversation
Connect Dixa to OpenAI Agents SDK via MCP
Follow these steps to wire Dixa into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Dixa MCP Server
OpenAI Agents SDK provides unique advantages when paired with Dixa through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Dixa + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Dixa MCP Server delivers measurable value.
Automated workflows: build agents that query Dixa, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Dixa, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Dixa tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Dixa to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Dixa in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Dixa immediately.
"List all active conversations in Dixa."
"Find the customer profile for 'jane.doe@example.com'."
"Mark conversation ID 'conv_456' as resolved."
Troubleshooting Dixa MCP Server with OpenAI Agents SDK
Common issues when connecting Dixa to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Dixa + OpenAI Agents SDK FAQ
Common questions about integrating Dixa MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.